Ewa Mroczek

Key Skills

Software

Lionbridge

Mindrift

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Label Types

Emotion Recognition

Translation Localization

Freelancer Overview

I am an AI strategy consultant and MBA with over 7 years of experience specializing in data labeling, annotation, and the creation of high-quality training datasets for AI models. My expertise lies in synthesizing structured data—particularly SQL-derived business metrics—into natural, human-aligned language for tasks such as supervised fine-tuning (SFT) and prompt engineering. I have led projects translating complex financial and account management data into realistic Q&A pairs, improving AI reasoning accuracy and reducing model hallucination. My background spans B2B account management, CRM workflows, and ethical data handling, and I am proficient in tools such as SQL, Excel, Salesforce, and HubSpot. I am passionate about bridging the gap between technical data environments and natural language outputs to create robust, logically consistent AI training data.

Labeling Experience

Freelance Linguistic Annotator/Transcriber

LionbridgeAudioEmotion Recognition

Worked on multimedia transcription and annotation projects for top translation companies. Responsibilities included capturing nuanced tone, emotion, and intent across diverse audio and video content. Delivered advanced linguistic annotations and semantic analysis to support AI and language technologies. • Collaborated with teams at TransPerfect, Lionbridge, and RWS Moravia • Adapted content with attention to emotional and cultural nuances • Annotated spoken language with emotion and intent cues • Utilized advanced transcription tools for precise data capture

Worked on multimedia transcription and annotation projects for top translation companies. Responsibilities included capturing nuanced tone, emotion, and intent across diverse audio and video content. Delivered advanced linguistic annotations and semantic analysis to support AI and language technologies. • Collaborated with teams at TransPerfect, Lionbridge, and RWS Moravia • Adapted content with attention to emotional and cultural nuances • Annotated spoken language with emotion and intent cues • Utilized advanced transcription tools for precise data capture

2018

Language Analyst (Linguistic Annotation Specialist)

MindriftTextTranslation Localization

Conducted semantic and grammatical analysis for large-scale localization and annotation projects. Defined complex linguistic structures for accurate natural language processing and translation workflows. Supported precision annotation tasks for technical documentation and language resources. • Delivered consistent semantic analysis for NLP development • Labeled textual data for machine learning and localization pipelines • Collaborated with remote teams to ensure accuracy • Used specialized linguistic annotation platforms

Conducted semantic and grammatical analysis for large-scale localization and annotation projects. Defined complex linguistic structures for accurate natural language processing and translation workflows. Supported precision annotation tasks for technical documentation and language resources. • Delivered consistent semantic analysis for NLP development • Labeled textual data for machine learning and localization pipelines • Collaborated with remote teams to ensure accuracy • Used specialized linguistic annotation platforms

2015 - 2018

Junior Transcriber/Annotator (Welocalize)

Scale AIAudioEmotion Recognition

Gained experience in using transcription and annotation software for spoken language data. Developed attention to linguistic accuracy for high-quality annotations. Assisted in emotion and tone labeling within business and legal transcription projects. • Used software tools such as Subtitle Edit and Praat • Focused on precise emotion recognition tasks • Labeled and transcribed business and legal audio data • Ensured consistent linguistic standards

Gained experience in using transcription and annotation software for spoken language data. Developed attention to linguistic accuracy for high-quality annotations. Assisted in emotion and tone labeling within business and legal transcription projects. • Used software tools such as Subtitle Edit and Praat • Focused on precise emotion recognition tasks • Labeled and transcribed business and legal audio data • Ensured consistent linguistic standards

2012 - 2015

Education

Work History